Graphical models of multivariate volatility

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

In order to understand volatility transmission between financial assets a multivariate model is essential. This paper looks at using graphical modelling to study volatility transmission. Graphical modelling is a technique that objectively test all potential influences on an index from its own past and other indices. The influences of the other indices can be contemporaneous. The results of graphical modelling are compared to the standard econometric tool for measuring multivariate volatility, the multivariate BEKK-GARCH model. The data used for this investigation is the daily closes of the Standard and Poor's 500 Composite Index (S&P 500), FTSE 100 and Nikkei 225. The period of investigation is from 3 April 2001 to 31 March 2005. The three stock indices are widely followed and over a 24 hour period and there is little overlap in trading hours. The Dickey-Fuller and Phillips-Perron tests confirm that for all three series that the log returns are first order stationary and the index prices are not stationary in mean. JEL CLASSIFICATIONS: C22, C32, C51.

Original languageEnglish
Title of host publicationMODSIM07 - Land, Water and Environmental Management
Subtitle of host publicationIntegrated Systems for Sustainability, Proceedings
Pages1399-1402
Number of pages4
Publication statusPublished - 2007
Externally publishedYes
EventInternational Congress on Modelling and Simulation - Land, Water and Environmental Management: Integrated Systems for Sustainability, MODSIM07 - Christchurch, New Zealand
Duration: 10 Dec 200713 Dec 2007

Publication series

NameMODSIM07 - Land, Water and Environmental Management: Integrated Systems for Sustainability, Proceedings

Conference

ConferenceInternational Congress on Modelling and Simulation - Land, Water and Environmental Management: Integrated Systems for Sustainability, MODSIM07
Country/TerritoryNew Zealand
CityChristchurch
Period10/12/0713/12/07

Keywords

  • BEKK model
  • Directed acyclic graph
  • Spill-over effects

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